Yining Wang

Artificial Intelligence · with Zhu · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David M. Blei
  2. Anima Anandkumar
  3. Chong Wang
  4. Rong Ge
  5. Sanjeev Arora
  6. Michael I. Jordan
  7. Jon D. McAuliffe
  8. Geoffrey E. Hinton
  9. Radford M. Neal
  10. Li Fei-Fei

Who trusts Yining Wang overall

  1. Yining Wang
  2. Anima Anandkumar

Papers from Yining Wang's perspective

Ordered by how strongly the researchers Yining Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers